Effects of Class Imbalance Using Machine Learning Algorithms: Case Study Approach.
Swati V. NarwaneSudhir D. SawarkarPublished in: Int. J. Appl. Evol. Comput. (2021)
Keyphrases
- machine learning algorithms
- class imbalance
- benchmark data sets
- learning algorithm
- active learning
- class distribution
- machine learning
- cost sensitive learning
- learning problems
- cost sensitive
- machine learning methods
- decision trees
- learning tasks
- imbalanced datasets
- sampling methods
- machine learning models
- high dimensionality
- random forests
- concept drift
- meta learning
- minority class
- learning models
- feature selection
- standard machine learning algorithms
- real world
- supervised learning